Latest AI and machine learning research in dermatology for healthcare professionals.
Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is...
Background Perfusion imaging is important to identify a target mismatch in stroke but requires contr...
The accurate segmentation of multiple types of lesions from adjacent tissues in medical images is si...
The application of deep learning on whole-slide histological images (WSIs) can reveal insights for c...
Although deep learning (DL) has demonstrated impressive diagnostic performance for a variety of comp...
Skin lesion diagnosis is a key step for skin cancer screening, which requires high accuracy and inte...
Computational analysis of drug solubility was carried out using machine learning approach. The solub...
BACKGROUND: Robot-assisted radical cystectomy (RARC) and intracorporeal urinary diversion are less i...
The ensuing pilot investigation sheds new light on characterizing tumoral and non-tumoral human skin...
In this study, a traumatic spinal cord injury (TSCI) classification system is proposed using a convo...
Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin...
The identification and quantification of liver lesions changes in longitudinal contrast enhanced CT ...
Background Computational models based on artificial intelligence (AI) are increasingly used to diagn...
Melanoma is an aggressive and metastatic skin cancer caused by genetic mutations in melanocytes, and...
Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in si...
Recently, human monkeypox outbreaks have been reported in many countries. According to the reports a...
Ultrasound features related to thyroid lesions structure, shape, volume, and margins are considered ...
Deep learning-based breast lesion detection in ultrasound images has demonstrated great potential to...
Today, the rapid development of industrial zones leads to an increased incidence of skin diseases be...
Advances in deep learning can be applied to acute stroke imaging to build powerful and explainable p...
Background: The accurate classification between malignant and benign breast lesions detected on mamm...